Contact Center Data Analyst

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists, Engineers and Business Experts and will bring big data analytics and scientific rigor to the team. This process involves understanding complex business functions, creating new solutions, analyzing structured and unstructured data, forming descriptive analysis and dashboards, and developing models for inference and prediction. You are expected to embrace new technologies and deliver smart solutions and services, collaborate with teams, share their knowledge, and collectively grow capability, skills, and knowledge in the team., * Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

• Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders
• Working with leaders and domain experts to identify business needs, create an analysis plan, identify deliverables, and communicate key insights
• Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network, etc.)
• Communicating complex technical concepts to stakeholders with confidence and integrity
• Working with business stakeholders to determine metrics for evaluating the models
• Working with data engineers to create datasets for insight and prediction
• Building data visualizations, reports, and presentations
• Rapidly learning and implementing new technologies and tools
• Provide leadership to help shape our data initiatives across U-Haul
• Potential to share and teach skills around advanced data analytics and data evaluation
• Handling a variety of responsibilities under pressure and functioning independently

Relevant tasks:

• Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.
• Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
• Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.
• Present the results of mathematical modeling and data analysis to management or other end users.
• Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
• Analyze information obtained from management to conceptualize and define operational problems.
• Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.
• Prepare management reports defining and evaluating problems and recommending solutions.
• Define data requirements, gather and validate information, apply judgment and statistical tests.
• Observe the current system in operation and gather and analyze information about each of the component problems, using a variety of sources.
• Breakdown systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
• Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
• Educate staff in the use of mathematical models.
• Specify manipulative or computational methods to be applied to models.
• Develop and apply time and cost networks to plan, control, and review large projects.
• Develop business methods and procedures, including accounting systems, file systems, logistics systems, and production schedules.

Do you have experience in Python?, * Master's degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 3 years of relevant experience

• Proven experience in SQL and Python
• Proven experience in Power BI and Databricks
• Proven experience processing and analyzing structured and unstructured data
• Exposure to and familiarity with common statistical and machine learning techniques.
• Substantial depth in one or more of the above techniques with past industry projects and/or academic research.
• The ability to communicate and present both orally and in writing, and comfortability with ambiguity and change
• High degree of drive, energy, self-confidence, commitment, and flexibility

Pulled from the full job description

• On-the-job training
• Tuition reimbursement
• Pet insurance
• Paid parental leave
• Parental leave
• 401(k)
• Health insurance, * Medical insurance
• Prescription drug plans
• Dental & Vision plan with hearing care discounts
• Onsite medical clinic for team members and eligible family members
• New indoor fitness gym (Midtown Phoenix campus)
• Get Fit Gym Reimbursement Program
• Registered Dietitian Program
• WeightWatchers®
• CVS Virtual Care
• U-Haul Kids Program
• 24-Hour Nurse Line
• Wellness Program (Healthier You initiatives & challenges)
• Mindset App Reimbursement
• Pet Insurance & Wellness plans
• Career stability
• Opportunities for advancement
• Valuable on-the-job training
• Tuition Reimbursement Program
• Free online courses for personal and professional development at U-Haul University®
• 401(k) Savings Plan
• Employee Stock Ownership Plan (ESOP)
• Company-paid life insurance
• Voluntary life insurance options
• Short-Term and Long-Term Disability
• Critical Illness, Accident & Hospital Indemnity plans
• Business & business travel insurance
• MetLaw Legal Program
• MetLife Auto & Home Insurance
• LifeLock Identity Theft Protection
• Dave Ramsey's SmartDollar® Financial Wellness Program
• U-Haul Federal Credit Union
• Paid holidays, vacation, and sick time
• You Matter Employee Assistance Program (EAP)
• Discounts on cell phone plans, hotels, computers, vehicles & more
• Community involvement & volunteer opportunities
• U-Haul Mothers Program (Paid maternity leave)

Since 1945, U-Haul has been serving do-it-yourself movers and their households. Like many other successful ventures, the concept for U-Haul was generated out of need. After World War II, there existed the widespread need for do-it-yourself moving equipment that would be available on a one-way, nationwide basis. U-Haul co-founders L.S. "Sam" Shoen and his wife, Anna Mary Carty Shoen, recognized that need and acted upon it. Their visionary approach spread the cost of ownership among many users, facilitating the mobility of the populations of the U.S. and Canada. The covered wagon of the pioneers morphed into orange U-Haul trailers. In the process, an industry was born.